Sensor Fusion :Autonomous vehicles use a combination of sensors, such as lidar, radar, and cameras, to gather data about the vehicle's surroundings. This information is then combined, or "fused," to create a comprehensive understanding of the vehicle's environment.
Level 3
Level 1
Level 4
Autonomous vehicles use high-definition maps and GPS to navigate and understand their surroundings. They are also able to recognize and respond to traffic signals, road signs, and other landmarks.
Autonomous vehicles use AI and machine learning to process the data gathered by sensors and make decisions on the road. For example, the vehicle may use AI to detect and respond to other vehicles, pedestrians, and obstacles on the road.
Autonomous vehicles are equipped with advanced control systems that can automatically steer the vehicle, accelerate and decelerate, and maintain a safe distance from other vehicles.
Autonomous vehicles are able to detect and stay within their lane, and also maintain a safe distance from the vehicle in front.
Conditional automation can alert to any vehicles nearby and make steering adjustments.
Level 4
High-driving automation. Vehicles can intervene if things go wrong.
Level 5
Full driving automation. Does not require human attention. No pedals or steering wheels.
Some autonomous vehicles can be monitored and controlled remotely, allowing fleet operators or service providers to remotely manage and maintain the vehicles.
Autonomous vehicles use wireless communication technologies like V2V (vehicle-to-vehicle) and V2X (vehicle-to-infrastructure) to share information with other vehicles and road infrastructure.
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